AI/ML Data Scientist

2 weeks ago

Dubai, Dubai, United Arab Emirates Teliolabs Communication Private Limited Full time

Location: Dubai

Who can Apply: Candidates Currently in Dubai
Job Type: Contract
Experience: Minimum 10+ years

Job Summary:

We are looking for a highly skilled AI/ML Data Scientist to develop and deploy advanced machine learning models, optimize AI-driven solutions, and enhance data-driven decision-making. The ideal candidate should have a strong background in data science, machine learning, deep learning, and statistical analysis, along with experience in cloud computing, big data platforms, and MLOps workflows.

Key Responsibilities:

  • Develop and Implement AI/ML Models for predictive analytics, automation, and intelligent decision-making.
  • Analyze Large Datasets using statistical and machine learning techniques to extract valuable insights.
  • Optimize and Scale ML Pipelines for real-time and batch processing in production environments.
  • Deploy AI Models on Cloud Platforms such as AWS, GCP, or Azure using MLOps practices.
  • Collaborate with Data Engineers to ensure seamless integration of AI/ML models into enterprise data platforms.
  • Design and Optimize Feature Engineering techniques to enhance model performance.
  • Implement Explainable AI (XAI) Practices to ensure model transparency and fairness.
  • Ensure Data Quality and Integrity through rigorous data validation and preprocessing steps.
  • Utilize Open-Source ML Libraries and Frameworks , including TensorFlow, PyTorch, Scikit-learn, and XGBoost.
  • Develop and Maintain AI/ML Pipelines using tools such as Apache Airflow, MLflow, and Kubeflow.
  • Research and Innovate new AI/ML methodologies to improve business processes and automation.
  • Monitor Model Performance and Drift , ensuring continuous optimization and re-training.
  • Support Data Science Initiatives by mentoring junior data scientists and collaborating with cross-functional teams.

Required Skills & Qualifications:

  • 10+ years of experience in data science, machine learning, and AI model development.
  • Strong Expertise in Machine Learning Algorithms , including supervised, unsupervised, and reinforcement learning.
  • Proficiency in Programming Languages such as Python, SQL.
  • Hands-on Experience with ML Frameworks , Open Source libraries such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.
  • Experience with Cloud AI Services , such as AWS SageMaker, and platforms such as Data bricks, Snowflakes.
  • Deep Knowledge of MLOps Practices , including CI/CD for ML, model versioning, and monitoring.
  • Strong Understanding of Data Technologies , including Spark and distributed computing.
  • Experience in Natural Language Processing (NLP), CNN , and Deep Learning Techniques.
  • Familiarity with AI Ethics, Bias Mitigation, and Explainable AI (XAI).
  • Knowledge of Databases and SQL for data retrieval and preprocessing.
  • Strong Analytical and Problem-Solving Skills to derive insights and optimize AI/ML solutions.

Preferred Qualifications:

  • Bachelors or Master's degree in Data Science, AI, Machine Learning, or a related field.
  • Experience with Generative AI, LLMs (Large Language Models), and Transformer Architectures.
  • Familiarity with Kubernetes, Docker, and containerized ML deployments.
  • Exposure to Graph Neural Networks, Time Series Forecasting, and Edge AI.
  • Certification in AWS, Google, or Azure AI/ML platforms.
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